.png){kind=icon}
.png){kind=icon}
Return
Perception-Based CTU Level Bit Allocation for Intra High Efficiency Video Coding
.png){kind=icon}
OA
AI
DOI：10.1109/ACCESS.2019.2948709.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
The conventional rate control algorithm does not fully consider the characteristics of the Human Visual System (HVS). To address this problem, in this paper, a perception based Coding Tree Unit (CTU) level bit allocation algorithm for intra High Efficiency Video Coding (HEVC) is proposed, which aims to minimize the perceptual distortion of each CTU under a given bit rate constraint. Firstly, to better represent perceptual distortion, Perceptually Weighted Mean Squared Error (PWMSE) is adopted instead of Mean Squared Error (MSE). Then, the relationship between Rate ($R)$ and Perceptually Weighted Distortion ($D_{p})$ is formulated by the proposed R-$\textit{D}_{p}$ model. Finally, the perceptual weighting factor derived from the R-$\textit{D}_{p}$ model is used to guide CTU level bit allocation. Experimental results show that the proposed algorithm achieves 6.27 bit rate reduction and 0.38 dB Bjntegaard Delta Perceptually Weighted Peak Signal to Noise Ratio (BD-PWPSNR) gain on average. Under other seven quality evaluation metrics, the proposed algorithm achieves from 1.57 to 8.95 average bit rate reduction while maintaining the perceptual quality, which significantly outperforms the benchmark schemes. Moreover, the proposed perception-based CTU level bit allocation algorithm also maintains a high rate control accuracy, which reaches 99.997.
Keywords:
Bit rate
Distortion
Encoding
High efficiency video coding
Visualization
Perceptual coding
bit allocation
rate control
high efficiency video coding
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.